Penerapan Metode Multi Attribute Utility Theory (MAUT) dalam Memberikan Rekomendasi Pemenang Lomba MTQ

Main Article Content

Lusia Lamalewa
Lilik Sumaryanti

Abstract

Musabaqah Tilawatil Qur'an is a competition in the field of syiar ’s content. The decision of the winners in MTQ competition was determined by the judges, especially in Merauke district, is currently carried out by the judges of each field, with the calculation of the value based on predetermined criteria. However, in its assessment, it has not applied priority to the criteria used to determine the winner. The results of the assessment given have not used data analysis methods that can be used to process assessment data into information that will support decision making in determining the winner of the competition. In order to reduce subjectivity in the assessment of participants, a decision support system is needed that has implemented a decision-making method. This study aims to build a decision support system using the Multi Attribute Utility Theory (MAUT) method. The results on the implementation of this method in a decision support system using an accuracy test indicated an accuracy of 95.6%. The accuracy value indicates that the MAUT method is an accurate data analysis method in analyzing the assessment data for determining the winner of the MTQ competition.

Article Details

How to Cite
Lamalewa, L., & Sumaryanti, L. (2021). Penerapan Metode Multi Attribute Utility Theory (MAUT) dalam Memberikan Rekomendasi Pemenang Lomba MTQ. JUSIFO (Jurnal Sistem Informasi), 7(1), 32-41. https://doi.org/10.19109/jusifo.v7i1.8450
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Articles

How to Cite

Lamalewa, L., & Sumaryanti, L. (2021). Penerapan Metode Multi Attribute Utility Theory (MAUT) dalam Memberikan Rekomendasi Pemenang Lomba MTQ. JUSIFO (Jurnal Sistem Informasi), 7(1), 32-41. https://doi.org/10.19109/jusifo.v7i1.8450

References

Aldo, D., Putra, N., & Munir, Z. (2019). Sistem Pendukung Keputusan Penilaian Kinerja Dosen dengan Menggunakan Metode Multi Attribute Utility Theory (MAUT). Jursima: Jurnal Sistem Informasi Dan Manajemen, 7(2), 76–82. https://doi.org/10.47024/js.v7i2.180

Alfiarini, A., & Primadasa, Y. (2020). Penerapan Metode Multi Attribute Utility Theory Untuk Menganalisa Pemberian Bantuan Raskin. Techno.Com, 19(1), 76–86. https://doi.org/10.33633/tc.v19i1.3136

Apriani, W. (2019). Sistem Pendukung Keputusan Pemilihan Pimpinan dengan Metode Multi Attribute Utility Theory (MAUT) di PT Sagami Indonesia. Jurnal Mantik, 3(2), 10–20. http://iocscience.org/ejournal/index.php/mantik/article/view/117

Bahrudin, B., & Kumaidi, K. (2014). Model Asesmen Musabaqah Tilawah Al-Quran (MTQ) Cabang Tilawah. Jurnal Penelitian Dan Evaluasi Pendidikan, 18(2), 153–167. https://doi.org/10.21831/pep.v18i2.2858

Hadinata, N. (2018). Implementasi Metode Multi Attribute Utility Theory (MAUT) Pada Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 7(2), 87–92. https://doi.org/10.32736/sisfokom.v7i2.562

Hidayat, M., Jusia, P. A., & Amroni, A. (2018). Analisa dan Perancangan Sistem Pendukung Keputusan untuk Penerimaan Karyawan PT Dos Ni Roha Jambi Menggunakan Metode MAUT (Multi Attribute Utility Theory). Processor, 13(1), 1200–1212. http://ejournal.stikom-db.ac.id/index.php/processor/article/view/381

Jannah, R., & Lusiana, L. (2015). Aplikasi Penerimaan Karyawan dengan Metode Multi Attribute Utility Theory. SATIN: Sains Dan Teknologi Informasi, 1(2), 79–89. http://jurnal.stmik-amik-riau.ac.id/index.php/satin/article/view/110

Limbong, T., & Simarmata, J. (2020). Determining Effective Subjects Online Learning (Study and Examination) with Multi-Attribute Utility Theory (MAUT) Method. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(2), 370–376. https://doi.org/10.29207/resti.v4i2.1851

Lubis, J. I., Efendi, B., & Syafnur, A. (2021). Penerapan Metode AHP untuk Menentukan Juara MTQ Di Kecamatan Tebing Tinggi Kota. Journal of Science and Social Research, 4(1), 34–38. http://jurnal.goretanpena.com/index.php/JSSR/article/view/475

Ramadiani, R., Hatta, H. R., Novita, N., & Azainil, A. (2018). Comparison of Two Methods Between TOPSIS and MAUT In Determining BIDIKMISI Scholarship. 2018 Third International Conference on Informatics and Computing (ICIC), 1–6. https://doi.org/10.1109/IAC.2018.8780455

Ramadiani, R., & Rahmah, A. (2019). Sistem pendukung keputusan pemilihan tenaga kesehatan teladan menggunakan metode Multi-Attribute Utility Theory. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 5(1), 1–12. https://doi.org/10.26594/register.v5i1.1273

Satria, E., Atina, N., Simbolon, M. E., & Windarto, A. P. (2018). SPK: Algoritma Multi-Attribute Utility Theory (MAUT) pada Destinasi Tujuan Wisata Lokal di Kota Sidamanik. Computer Engineering, Science and System Journal, 3(2), 168–172. https://doi.org/10.24114/cess.v3i2.9954

Situmorang, Y. A., Dalimunthe, N., Parlina, I., & Lubis, M. R. (2018). Penerapan Metode Maut pada Pemilihan Bimbingan Intensif Terbaik di Pematangsiantar. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 2(1). https://doi.org/10.30865/komik.v2i1.934

Velasquez, M., & Hester, P. T. (2013). An Analysis of Multi-criteria Decision Making Methods. ORSTW: Operations Research Society of Taiwan, 10(2), 56–66. http://www.orstw.org.tw/ijor/6_volume10_no2.html

Widodo, W., & Nastoto, I. (2019). Sistem Pendukung Keputusan Dengan Menggunakan Metode Multi Atribute Utility Theory (MAUT) untuk Penentuan Bantuan Rumah Tinggal Sehat. Indonesian Journal of Business Intelligence (IJUBI), 1(2), 76. https://doi.org/10.21927/ijubi.v1i2.911